| Issue |
E3S Web Conf.
Volume 252, 2021
2021 International Conference on Power Grid System and Green Energy (PGSGE 2021)
|
|
|---|---|---|
| Article Number | 01040 | |
| Number of page(s) | 5 | |
| Section | Power Control Technology and Smart Grid Application | |
| DOI | https://doi.org/10.1051/e3sconf/202125201040 | |
| Published online | 23 April 2021 | |
Joint planning of electric vehicle charging station and distributed generation on location and capacity
Business school, Shanghai Dian Ji University, Shanghai, 201306, China
a e-mail: wmc_0126@163.com
* Corresponding author’s e-mail: shenjin@sdju.edu.cn
The widespread application of distributed generation and electric vehicles are two important ways to save energy and reduce emissions. Therefore, the location and capacity of distributed generation and electric vehicle charging stations are particularly important. From the perspective of environmental protection, distributed power generation has obvious advantages over traditional power generation methods. Based on this, this paper establishes a model of location and capacity of electric vehicle charging stations with distributed generation with the lowest sum of investment, operation and maintenance costs, network losses and environmental costs. And this paper uses the Grasshopper Optimization Algorithm to solve the model. Finally, the IEEE 33-node distribution system is used as an example to perform calculations to verify the effectiveness and feasibility of the proposed model and algorithm.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.